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DOC - ADAM Interactive Anatomy
DOC - ADAM Interactive Anatomy

... Chemical synapses are not as fast as electrical but are the most common type of synapse. A chemical, called a ______________________, is released from the sending neuron and travels across the ___________________(a gap between the neurons) to the receiving neuron. Advantages of the chemical synapse: ...
news and views - Cortical Plasticity
news and views - Cortical Plasticity

... as an attractor network that operates at maximum information storage capacity. In symmetrically connected recurrent neural networks7, stored memories can be thought of as stable neuronal activity patterns, known as attractor states. These patterns are stable because they correspond to local minima i ...
Final review quiz
Final review quiz

... connection strength between neurons can depend on ______________ of two neurons Changes in strength of connection = ________________ pre-synaptic neuron fires action potentials…the amount of depolarization in post-synaptic neuron can change, this is referred to as _____________________________ (STDP ...
nn2new-02
nn2new-02

... •If you measure the membrane potential of a neuron and print it out on the screen, it looks like (from time 0 to 60 minutes) ...
Slayt 1 - Department of Information Technologies
Slayt 1 - Department of Information Technologies

... The dendrites are tree-like receptive networks of nerve fibers that carry electrical signals into the cell body The cell body effectively sums and thresholds these incoming signals. The axon is a single long fiber that carries the signal from the cell body out to other neurons. The point of contact ...
Artificial Intelligence CSC 361
Artificial Intelligence CSC 361

... Adding an extra input with activation a0 = -1 and weight W0,j = t (called the bias weight) is equivalent to having a threshold at t. This way we can always assume a 0 threshold. ...
Memory - My Haiku
Memory - My Haiku

... • Selects certain information for further processing • We normally pay attention to only a ...
File
File

... positive ions enter the neuron, making it more prone to firing an action potential. Hyperpolarization occurs when negative ions enter the neuron, making it less prone to firing an action potential. ...
1 - CSU, Chico
1 - CSU, Chico

... Long-Term storage of some ...
Cognitive Neuroscience History of Neural Networks in Artificial
Cognitive Neuroscience History of Neural Networks in Artificial

... The work focused on the problem of determining appropriate weights for particular computational tasks. For the single-layer perceptron, Rosenblatt developed a learning algorithm – a method for changing the weights iteratively so that a desired computation was performed. (Remember that McCulloch & P ...
Working memory
Working memory

... – The subject was given items to remember (e.g., a sequence of numbers or letters) – The subject carried out a cognitive task (e.g., verifying a sentence) – The subject report the item given in the first task (recalling). • (Baddeley & Hitch, 1974) ...
THE HUMAN MEMORY The human brain, one of the most complex
THE HUMAN MEMORY The human brain, one of the most complex

... ??? Did You Know ??? brain with electrical probes in the 1940s and 1950s, initially in search of the causes of epilepsy, allowed him to create maps of the sensory and motor cortices of the brain that are still used today, practically unaltered. He was also Flashbacks are involuntary (and able to sum ...
How we make Memories - Boone County Schools
How we make Memories - Boone County Schools

... the Brain Because both sides of the brain are symmetrical, the hippocampus can be found in both hemispheres. ...
Types of Memory
Types of Memory

... permanent changes in synaptic strength between assemblies of neurons. For example, rats raised in a rich environment have a thicker cortex with larger and more synapses. In the case of procedural memory, the changes are produced gradually by repeated exposure to the stimulus. ...
Supervised learning
Supervised learning

... A formal neuron applies a trigger function to the pondered sum of its entries (with a delay). This model is a simplified version of our biological neuron. e1 ...
Learning, Memory and Amnesia
Learning, Memory and Amnesia

... – A progressive disease causing loss of cells and deterioration in the association cortex. – Marked by anterograde amnesia and later also by retrograde amnesia. – Damage begins in medial temporal cortex and spreads to other areas. – This is evidence that anterograde amnesia is related to the medial ...
Serotonin, also known as 5-HT (5
Serotonin, also known as 5-HT (5

... stimulated neuron, and recognized by an adjacent neuron, causing it to fire and so on. In this way, the nerve impulse is propagated throughout the nervous system. Note that after a nerve fires at a synapse, the neurotransmitter must be taken back up by the original neuron. This so-called “re-uptake” ...
Memory Retrieval
Memory Retrieval

... the Brain Because both sides of the brain are symmetrical, the hippocampus can be found in both hemispheres. ...
schema theory
schema theory

... Schemas can also lead to distortions and mistakes when… • Settings are unfamiliar (and thus require novel approaches) • The wrong schema is activated ...
APPLICATION OF AN EXPERT SYSTEM FOR ASSESSMENT OF …
APPLICATION OF AN EXPERT SYSTEM FOR ASSESSMENT OF …

... The basic function of a biological neuron is to add up its inputs, and to produce an output if this sum is greater than some value, known as the threshold value. The inputs to the neuron arrive along the dendrites, which are connected to the outputs from other neurons by specialized junctions called ...
LECTURE 1
LECTURE 1

... designed to be as large and flexible as possible within cost limitations. Gordon Bell's rule of thumb is that each vector unit must be able to produce at least two results per clock tick to have acceptably high performance. ...
Chapters 6-7  - Foundations of Human Social
Chapters 6-7 - Foundations of Human Social

... • Further, this model can be extrapolated for higher level cognitive decisions. It is common experience that decisions are more difficult to make and take longer when the number of appealing alternatives increases. • Once a decision is definitely made, however, humans are reluctant to change their ...
Synaptic Transmission
Synaptic Transmission

... message and can be inhibitory. When they bind to the post-synaptic neuron, they let potassium out instead of sodium in, which makes the neuron even more negative! ...
Cognitive
Cognitive

... Declarative or Explicit Knowledge - Static knowledge about things in the world such as facts and experiences that we can recall under conscious control. Semantic Memory - This is information that has lost its time reference. That is, we know the information, facts, and concepts, but we cannot rememb ...
Firing Rate Models
Firing Rate Models

... where E is the sum over all excitatory cells (labeled by j) and I is the sum over all inhibitory cells. WjiE is the strength of an excitatory connection from cell j to cell i. W jiI is the strength of an inhibitory connection from cell j to cell i. Figure showing simulated noisy leaky-integrate-and- ...
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Sparse distributed memory

Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses).SDM implements transformation from logical space to physical space using distributed data storing. A value corresponding to a logical address is stored into many physical addresses. This way of storing is robust and not deterministic. A memory cell is not addressed directly. If input data (logical addresses) are partially damaged at all, we can still get correct output data.The theory of the memory is mathematically complete and has been verified by computer simulation. It arose from the observation that the distances between points of a high-dimensional space resemble the proximity relations between concepts in human memory. The theory is also practical in that memories based on it can be implemented with conventional RAM-memory elements.
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